Wei Peng
Wei Peng
Stanford University
Verified email at - Homepage
Cited by
Cited by
Learning graph convolutional network for skeleton-based human action recognition by neural searching
W Peng, X Hong, H Chen, G Zhao
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI2020), 2020
Remote Heart Rate Measurement from Highly Compressed Facial Videos: an End-to-end Deep Learning Solution with Video Enhancement
Z Yu*, W Peng*, X Li, X Hong, G Zhao
IEEE International Conference on Computer Vision (ICCV2019)., 2019
Hyperbolic Deep Neural Networks: A Survey
W Peng, T Varanka, A Mostafa, H Shi, G Zhao
IEEE Transactions on Pattern Analysis & Machine Intelligence(T-PAMI) 44 (12 …, 2022
Revealing the Invisible with Model and Data Shrinking for Composite-database Micro-expression Recognition
Z Xia, W Peng, HQ Khor, X Feng, G Zhao
IEEE Transactions on Image Processing (T-IP), 2020
Mix Dimension in Poincar\'{e} Geometry for 3D Skeleton-based Action Recognition
W Peng, J Shi, Z Xia, G Zhao
Proceedings of the 28th ACM International Conference on Multimedia (ACM MM'20), 2020
Spatial temporal graph deconvolutional network for skeleton-based human action recognition
W Peng, J Shi, G Zhao
IEEE signal processing letters 28, 244-248, 2021
A Boost in Revealing Subtle Facial Expressions: A Consolidated Eulerian Framework
W Peng, X Hong, Y Xu, G Zhao
IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019), 2019
Tripool: Graph triplet pooling for 3D skeleton-based action recognition
W Peng, X Hong, G Zhao
Pattern Recognition 115, 107921, 2021
Video Action Recognition Via Neural Architecture Searching
W Peng, X Hong, G Zhao
The 26th IEEE International Conference on Image Processing (ICIP 2019), 2019
Rethinking the ST-GCNs for 3D skeleton-based human action recognition
W Peng, J Shi, T Varanka, G Zhao
Neurocomputing 454, 45-53, 2021
Adaptive modality distillation for separable multimodal sentiment analysis
W Peng, X Hong, G Zhao
IEEE Intelligent Systems 36 (3), 82-89, 2021
A hybrid quantum–classical neural network with deep residual learning
Y Liang, W Peng, ZJ Zheng, O Silvén, G Zhao
Neural Networks 143, 133-147, 2021
Intrinsic-extrinsic preserved gans for unsupervised 3D pose transfer
H Chen, H Tang, H Shi, W Peng, N Sebe, G Zhao
IEEE International Conference on Computer Vision (ICCV2021), 8630-8639, 2021
Generating Realistic Brain MRIs via a Conditional Diffusion Probabilistic Model
W Peng, E Adeli, SH Bosschieter, Tomas, Park, Q Zhao, KM Pohl
MICCAI 2023, 2023
Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks
W Peng, L Feng, G Zhao, F Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
Generative AI for Medical Imaging: Extending the MONAI Framework
WHL Pinaya, MS Graham, E Kerfoot, PD Tudosiu, J Dafflon, V Fernandez, ...
arXiv preprint arXiv:2307.15208, 2023
Multiscale 3D-shift graph convolution network for emotion recognition from human actions
H Shi, W Peng, H Chen, X Liu, G Zhao
IEEE Intelligent Systems 37 (4), 103-110, 2022
Hyperbolic uncertainty aware semantic segmentation
B Chen, W Peng, X Cao, J Röning
IEEE Transactions on Intelligent Transportation Systems, 2023
Characterizing Subtle Facial Movements via Riemannian Manifold.
X Hong, W Peng, M Harandi, Z Zhou, GZ M. Pietikäinen
ACM TOMM, 2019., 2019
2nd Place Scheme on Action Recognition Track of ECCV 2020 VIPriors Challenges: An Efficient Optical Flow Stream Guided Framework
H Chen, Z Yu, X Liu, W Peng, Y Lee, G Zhao
ECCV workshop, 2020
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